This role is to work with the Data Science team to develop and deploy machine learning solutions of the enterprise application and data landscape.

The following functions are the responsibility of the Sr AI Engineer within Data Science Team.

Position Responsibilities:

Responsibilities includes, but are not limited to the following:
Design, build, deploy, monitor and support production deployment of data science solutions using Google’s Vertex AI and AWS Bedrock
Experience in MLOps
Research and implement ML algorithms and tools as a proof-of-concept and move it to the production-ready state
Shows proficiency in Python, Deep Learning, Machine Learning, Neural Networks,
Select appropriate datasets and data representation methods
Optimize and transform data science prototypes/solutions for speed, reliability, and scale
Knowledge of Docker, openshift environment, AWS, Google, Jira, Confluence, REST are big plus.
Implementing parallelization using spark, Kubernetes, etc
Experience with GitHub and GitLab
Testing different platform stacks for performance and efficiency
Strong command lines skills in Linux.
Collaborate cross-functionally with domain experts to identify gaps and structural problems
Present findings and discuss project results with business units
Analyzing, extracting, and optimizing relevant information from large amounts of data to help drive business decisions on product features and operational efficiency
SQL knowledge is must

Competencies:

Knowledge of 10 + years of Python
Data mining experience
Deep knowledge of statistics and practical implementations of computational statistics
Predictive modeling and algorithms
Knowledge of reporting and data visualization

AI Software Engineer Undefined

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